BIOENGINEER

AI Learns the Rhythm of Maglev: New Neural Operator Predicts Levitation Gaps in a Flash

Researchers in Shanghai have developed a physics-guided neural operator that predicts the levitation air-gap response of EMS ...

What is a Neural Operator? An Explanation of Physics-Specialized AI

MeCould you explain what a "Neural Operator" is in simple terms?🙏🐶 Operator researchers develop new AI, shifting from ...
umass

Lu Lu: Learning neural operators accurately, efficiently, reliably, and in one shot

As an emerging paradigm in scientific machine learning, deep neural operators pioneered by us can learn nonlinear operators of complex dynamic systems via neural networks. In this talk, I will present ...
EurekAlert!

PIANO: a new operator learning framework that deciphers and incorporates invariants from the PDE series via self-supervised learning and attention technique, achieving superior ...

(a). Given the PDE initial fields, PIANO first infers the physical invariant (PI) embedding via the PI encoder, then integrates it into the neural operator to obtain a personalized operator. After ...
BIOENGINEER

Evolutionary Algorithm Designs and Trains Neural Networks Simultaneously, Beating Classic Methods

IMODE, an improved multi-operator differential evolution algorithm that simultaneously optimizes the architecture and parameters of feedforward neural networks, achieving ...
US Geological Survey

Digital Twin Earth - Coasts: Developing a fast and physics-informed surrogate model for coastal floods via neural operators

Authors P. Jiang, N. Meinert, H. Jordao, C. Weisser, S. Holgate, A. Lavin, B. Lutjens, D. Newman, H. Wainright, C. Walker, Patrick L. Barnard ...